Amazon WorkSpaces Thin Client is now available to purchase in India on Amazon Business.

Amazon WorkSpaces Thin Client is a low-cost end-user device that helps organizations reduce overall virtual desktop costs, strengthen security posture, and simplify end-user deployment. End users can set up WorkSpaces Thin Client in minutes using an on-device guided deployment experience to connect their network and peripherals and log in to their virtual desktops including Amazon WorkSpaces, Amazon WorkSpaces Secure Browser, and Amazon AppStream 2.0. WorkSpaces Thin Client helps IT organizations improve security by removing the ability to upload or download files or applications and by establishing device trust through a secure chip. With the WorkSpaces Thin Client service, IT administrators have a complete view of their inventory and can remotely reset, patch, and control access to the thin client.

The WorkSpaces Thin Client service is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (London). Devices are now available to purchase in the US, UK, France, Germany, Italy, Spain, and India on Amazon Business.

Visit the WorkSpaces Thin Client page and Amazon Business to learn more.

​Amazon WorkSpaces Thin Client is now available to purchase in India on Amazon Business. Amazon WorkSpaces Thin Client is a low-cost end-user device that helps organizations reduce overall virtual desktop costs, strengthen security posture, and simplify end-user deployment. End users can set up WorkSpaces Thin Client in minutes using an on-device guided deployment experience to connect their network and peripherals and log in to their virtual desktops including Amazon WorkSpaces, Amazon WorkSpaces Secure Browser, and Amazon AppStream 2.0. WorkSpaces Thin Client helps IT organizations improve security by removing the ability to upload or download files or applications and by establishing device trust through a secure chip. With the WorkSpaces Thin Client service, IT administrators have a complete view of their inventory and can remotely reset, patch, and control access to the thin client. The WorkSpaces Thin Client service is available in the following AWS Regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (London). Devices are now available to purchase in the US, UK, France, Germany, Italy, Spain, and India on Amazon Business. Visit the WorkSpaces Thin Client page and Amazon Business to learn more.  

Amazon DocumentDB (with MongoDB Compatibility) introduces NVMe-backed R6gd Instances, offering up to 7x faster query performance for applications with large datasets exceeding regular instance memory. These instances can expand the data caching capacity by up to 7 times compared to a regular instance.

NVMe-backed R6gd Instances leverage the local non-volatile memory express (NVMe)-based SSD storage available on r6gd instances to store ephemeral data, reducing network-based storage access, and improving read latency and throughput. Database pages evicted from the in-memory buffer cache are cached on local NVMe storage. Additionally, temporary space is hosted on local SSD instead of network storage, reducing the latency of queries involving sorts by up to 2x and accelerating resource-intensive operations like index builds.

Customers can get started with NVMe-backed R6gd Instances through the AWS Management Console, CLI, and SDK by modifying their Amazon DocumentDB database cluster or creating a new one using R6gd instances. NVMe-backed R6gd Instances are available for Amazon DocumentDB V5.0 on both Standard and IO-Optimized cluster storage configurations. For more information visit our pricing page and documentation.

​Amazon DocumentDB (with MongoDB Compatibility) introduces NVMe-backed R6gd Instances, offering up to 7x faster query performance for applications with large datasets exceeding regular instance memory. These instances can expand the data caching capacity by up to 7 times compared to a regular instance. NVMe-backed R6gd Instances leverage the local non-volatile memory express (NVMe)-based SSD storage available on r6gd instances to store ephemeral data, reducing network-based storage access, and improving read latency and throughput. Database pages evicted from the in-memory buffer cache are cached on local NVMe storage. Additionally, temporary space is hosted on local SSD instead of network storage, reducing the latency of queries involving sorts by up to 2x and accelerating resource-intensive operations like index builds. Customers can get started with NVMe-backed R6gd Instances through the AWS Management Console, CLI, and SDK by modifying their Amazon DocumentDB database cluster or creating a new one using R6gd instances. NVMe-backed R6gd Instances are available for Amazon DocumentDB V5.0 on both Standard and IO-Optimized cluster storage configurations. For more information visit our pricing page and documentation.  

AWS Mainframe Modernization introduces dual stack support for the managed runtime environments, enabling you to connect using Internet Protocol Version 6 (IPv6), Internet Protocol Version 4 (IPv4), or dual stack clients.

The urgency to transition to Internet Protocol version 6 (IPv6) is driven by the continued growth of internet, which is exhausting available Internet Protocol version 4 (IPv4) addresses. With simultaneous support for both IPv4 and IPv6 clients on AWS Mainframe Modernization runtime environments, you are able to gradually transition from IPv4 to IPv6 based systems and applications, without needing to switch all over at once. You can also continue to use IPv4 connections if you do not yet utilize IPv6.

There is no additional charge when you connect to AWS Mainframe Modernization using Internet Protocol Version 6 (IPv6) clients. Support for IPv6 is available in any AWS Region where AWS Mainframe Modernization managed runtime is already deployed. To learn more, please visit AWS Mainframe Modernization product and documentation pages.

​AWS Mainframe Modernization introduces dual stack support for the managed runtime environments, enabling you to connect using Internet Protocol Version 6 (IPv6), Internet Protocol Version 4 (IPv4), or dual stack clients. The urgency to transition to Internet Protocol version 6 (IPv6) is driven by the continued growth of internet, which is exhausting available Internet Protocol version 4 (IPv4) addresses. With simultaneous support for both IPv4 and IPv6 clients on AWS Mainframe Modernization runtime environments, you are able to gradually transition from IPv4 to IPv6 based systems and applications, without needing to switch all over at once. You can also continue to use IPv4 connections if you do not yet utilize IPv6. There is no additional charge when you connect to AWS Mainframe Modernization using Internet Protocol Version 6 (IPv6) clients. Support for IPv6 is available in any AWS Region where AWS Mainframe Modernization managed runtime is already deployed. To learn more, please visit AWS Mainframe Modernization product and documentation pages.  

The post Anunciamos SPARROW: una innovadora herramienta de IA para medir y proteger la biodiversidad de la Tierra en los lugares más remotos appeared first on Source LATAM.

​The post Anunciamos SPARROW: una innovadora herramienta de IA para medir y proteger la biodiversidad de la Tierra en los lugares más remotos appeared first on Source LATAM.  

Today, we are announcing the availability of AWS Backup support for Amazon Timestream for LiveAnalytics in the AWS GovCloud (US-West) Region. AWS Backup is a policy-based, fully managed and cost-effective solution that enables you to centralize and automate data protection of Amazon Timestream for LiveAnalytics along with other AWS services spanning compute, storage, and databases as well as third-party applications. Together with AWS Organizations, AWS Backup enables you to centrally deploy policies to configure, manage, and govern your data protection operations.

With this launch, AWS Backup support for Amazon Timestream for LiveAnalytics is available in the following Regions: US East (N. Virginia, Ohio, Oregon), Asia Pacific (Mumbai, Sydney, Tokyo), Europe (Frankfurt, Ireland), and AWS GovCloud (US-West). For more information on regional availability, feature availability, and pricing, see the AWS Backup pricing page and the AWS Backup Feature Availability page.

To learn more about AWS Backup support for Amazon Timestream for LiveAnalytics, visit AWS Backup’s technical documentation. To get started, visit the AWS Backup console.

​Today, we are announcing the availability of AWS Backup support for Amazon Timestream for LiveAnalytics in the AWS GovCloud (US-West) Region. AWS Backup is a policy-based, fully managed and cost-effective solution that enables you to centralize and automate data protection of Amazon Timestream for LiveAnalytics along with other AWS services spanning compute, storage, and databases as well as third-party applications. Together with AWS Organizations, AWS Backup enables you to centrally deploy policies to configure, manage, and govern your data protection operations. With this launch, AWS Backup support for Amazon Timestream for LiveAnalytics is available in the following Regions: US East (N. Virginia, Ohio, Oregon), Asia Pacific (Mumbai, Sydney, Tokyo), Europe (Frankfurt, Ireland), and AWS GovCloud (US-West). For more information on regional availability, feature availability, and pricing, see the AWS Backup pricing page and the AWS Backup Feature Availability page. To learn more about AWS Backup support for Amazon Timestream for LiveAnalytics, visit AWS Backup’s technical documentation. To get started, visit the AWS Backup console.  

Today, we are announcing AWS CloudFormation support for AWS Parallel Computing Service (AWS PCS). Using AWS CloudFormation, you can easily create and manage PCS clusters and automate your cluster administration tasks.

AWS PCS is a managed service that makes it easier for you to run and scale your high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. You can use AWS PCS to build complete, elastic environments that integrate compute, storage, networking, and visualization tools. AWS PCS simplifies cluster operations with managed updates and built-in observability features, helping to remove the burden of maintenance. You can work in a familiar environment, focusing on your research and innovation instead of worrying about infrastructure.

To get started with using AWS CloudFormation with AWS PCS, please refer to the documentation. To learn more about AWS PCS, please refer service documentation. For more information on pricing and region availability, refer to the PCS pricing and AWS Region Table.
 

​Today, we are announcing AWS CloudFormation support for AWS Parallel Computing Service (AWS PCS). Using AWS CloudFormation, you can easily create and manage PCS clusters and automate your cluster administration tasks. AWS PCS is a managed service that makes it easier for you to run and scale your high performance computing (HPC) workloads and build scientific and engineering models on AWS using Slurm. You can use AWS PCS to build complete, elastic environments that integrate compute, storage, networking, and visualization tools. AWS PCS simplifies cluster operations with managed updates and built-in observability features, helping to remove the burden of maintenance. You can work in a familiar environment, focusing on your research and innovation instead of worrying about infrastructure. To get started with using AWS CloudFormation with AWS PCS, please refer to the documentation. To learn more about AWS PCS, please refer service documentation. For more information on pricing and region availability, refer to the PCS pricing and AWS Region Table.    

Today, AWS has launched a self-service feature that allows customers with billing address in United States to update their business names on AWS Invoices. This capability empowers AWS customers with Billing Address in United states to update business names on AWS Invoices, without having to reach out to AWS customer support or concierge teams. Updated invoices will be accessible within the AWS Billing and Cost Management Console within 24 hours of initiation.

With this self-serve feature, US customers can update the business name on the account and initiate an invoice update from the AWS Bills page in the AWS Billing and Cost management console. The updated invoice will be available on the Invoice tab of the AWS Bills page in the AWS Billing and Cost management console. Customers outside US can continue to work with AWS Customer Support and Concierge teams to update the business names on AWS Invoices. Please access the product page to learn how to use AWS Bills page.

The self-serve feature for US customers to update business names on AWS Invoices is available in all public AWS Regions, except the AWS GovCloud (US) Regions and the China Regions.

​Today, AWS has launched a self-service feature that allows customers with billing address in United States to update their business names on AWS Invoices. This capability empowers AWS customers with Billing Address in United states to update business names on AWS Invoices, without having to reach out to AWS customer support or concierge teams. Updated invoices will be accessible within the AWS Billing and Cost Management Console within 24 hours of initiation. With this self-serve feature, US customers can update the business name on the account and initiate an invoice update from the AWS Bills page in the AWS Billing and Cost management console. The updated invoice will be available on the Invoice tab of the AWS Bills page in the AWS Billing and Cost management console. Customers outside US can continue to work with AWS Customer Support and Concierge teams to update the business names on AWS Invoices. Please access the product page to learn how to use AWS Bills page. The self-serve feature for US customers to update business names on AWS Invoices is available in all public AWS Regions, except the AWS GovCloud (US) Regions and the China Regions.  

AWS Resilience Hub now supports an enhanced integration with AWS Fault Injection Service (AWS FIS) to offer tailored experiment recommendations. Fault injection experiments help test and improve your applications’ performance, observability, and resilience. When you onboard an application to the Resilience Hub, you receive customized experiment recommendations based on the specific application context.

With this launch, you can begin resilience testing with just a few clicks in the Resilience Hub Console. Resilience Hub offers tailored experiment recommendations using AWS FIS actions and scenarios to replicate the symptoms of possible application impairment events. This simplifies the process for proactively testing applications to verify and improve resilience. Your resilience score, which enables you to track your resilience posture over time, improves when you run a Resilience Hub-recommended experiment or conduct your own AWS FIS experiments.

These capabilities are available in all AWS Regions where both Resilience Hub and FIS are available. For the latest information on availability, please refer to the AWS Regional Services List.

For more information on this integration, visit the AWS Resilience Hub product page. To get started, sign in to the AWS console.
 

​AWS Resilience Hub now supports an enhanced integration with AWS Fault Injection Service (AWS FIS) to offer tailored experiment recommendations. Fault injection experiments help test and improve your applications’ performance, observability, and resilience. When you onboard an application to the Resilience Hub, you receive customized experiment recommendations based on the specific application context. With this launch, you can begin resilience testing with just a few clicks in the Resilience Hub Console. Resilience Hub offers tailored experiment recommendations using AWS FIS actions and scenarios to replicate the symptoms of possible application impairment events. This simplifies the process for proactively testing applications to verify and improve resilience. Your resilience score, which enables you to track your resilience posture over time, improves when you run a Resilience Hub-recommended experiment or conduct your own AWS FIS experiments. These capabilities are available in all AWS Regions where both Resilience Hub and FIS are available. For the latest information on availability, please refer to the AWS Regional Services List. For more information on this integration, visit the AWS Resilience Hub product page. To get started, sign in to the AWS console.    

AWS Glue announces 16 new connectors for applications, expanding its connectivity portfolio. Now, customers can use AWS Glue native connectors to ingest data from Adobe Analytics, Asana, Datadog, Facebook Page Insights, Freshdesk, Freshsales, Google Search Console, Linkedin, Mixpanel, Paypal Checkout, Quickbooks, SendGrid, SmartSheets, Twilio, WooCommerce and Zoom Meetings.

As enterprises increasingly rely on data-driven decisions, they need to integrate with data from various applications. With 16 new connectors, customers have more options to easily establish a connection to their applications using the AWS Glue console or AWS Glue APIs without the need to learn application-specific APIs. Glue native connectors provide the scalability and performance of the AWS Glue Spark engine along with support for standard authorization and authentication methods like OAuth 2. With these connectors, customers can test connections, validate their connection credentials, preview data, and browse metadata.

AWS Glue native connectors to Adobe Analytics, Asana, Datadog, Facebook Page Insights, Freshdesk, Freshsales, Google Search Console, Linkedin, Mixpanel, Paypal Checkout, Quickbooks, SendGrid, SmartSheets, Twilio, WooCommerce and Zoom Meetings are available in all AWS commercial regions.

To get started, create new AWS Glue connections with these connectors and use them as source in AWS Glue studio. To learn more, visit AWS Glue documentation for connectors.
 

​AWS Glue announces 16 new connectors for applications, expanding its connectivity portfolio. Now, customers can use AWS Glue native connectors to ingest data from Adobe Analytics, Asana, Datadog, Facebook Page Insights, Freshdesk, Freshsales, Google Search Console, Linkedin, Mixpanel, Paypal Checkout, Quickbooks, SendGrid, SmartSheets, Twilio, WooCommerce and Zoom Meetings. As enterprises increasingly rely on data-driven decisions, they need to integrate with data from various applications. With 16 new connectors, customers have more options to easily establish a connection to their applications using the AWS Glue console or AWS Glue APIs without the need to learn application-specific APIs. Glue native connectors provide the scalability and performance of the AWS Glue Spark engine along with support for standard authorization and authentication methods like OAuth 2. With these connectors, customers can test connections, validate their connection credentials, preview data, and browse metadata. AWS Glue native connectors to Adobe Analytics, Asana, Datadog, Facebook Page Insights, Freshdesk, Freshsales, Google Search Console, Linkedin, Mixpanel, Paypal Checkout, Quickbooks, SendGrid, SmartSheets, Twilio, WooCommerce and Zoom Meetings are available in all AWS commercial regions. To get started, create new AWS Glue connections with these connectors and use them as source in AWS Glue studio. To learn more, visit AWS Glue documentation for connectors.    

Today, we are announcing Slurm 24.05 support in AWS Parallel Computing Service (AWS PCS). You can now create AWS PCS clusters running the newer Slurm 24.05 version.

AWS PCS’ release of Slurm 24.05 provides new Slurm fixes and security updates, including improved auditing for RPC calls, hardened security, and enhancements in Slurm client commands. With this release, AWS PCS also enables a series of Slurm functionalities out of the box, such as improved fanout with partition locality, SHA-3 for cryptographic hashing, and job containers for prolog execution.

To get started with using Slurm 24.05 in AWS PCS via AWS Management Console or AWS SDK, please refer to the documentation. To learn more about AWS PCS, please refer service documentation. For more information on pricing and region availability, refer to the PCS Pricing and AWS Region Table.

​Today, we are announcing Slurm 24.05 support in AWS Parallel Computing Service (AWS PCS). You can now create AWS PCS clusters running the newer Slurm 24.05 version. AWS PCS’ release of Slurm 24.05 provides new Slurm fixes and security updates, including improved auditing for RPC calls, hardened security, and enhancements in Slurm client commands. With this release, AWS PCS also enables a series of Slurm functionalities out of the box, such as improved fanout with partition locality, SHA-3 for cryptographic hashing, and job containers for prolog execution. To get started with using Slurm 24.05 in AWS PCS via AWS Management Console or AWS SDK, please refer to the documentation. To learn more about AWS PCS, please refer service documentation. For more information on pricing and region availability, refer to the PCS Pricing and AWS Region Table.